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Estimating the efficiency of a sustainable Chinese tourism industry using bootstrap technology rectification

机译:通过自举技术修正来估算中国旅游业可持续发展的效率

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This paper estimates the efficiency of the Chinese tourism industry using traditional data envelopment analysis (DEA) and bootstrap-DEA. It also identifies the determinants of efficiency. The comprehensive and pure technical efficiency values estimated by DEA are higher than those estimated by bootstrap-DEA, indicating that the former method tends to overestimate efficiency. Further, the changes in comprehensive and pure technical efficiency are not significant, while some models display no efficiency. Additionally, economic development, urbanization, and the degree of opening up have positive effects. By regional division, the comprehensive technical efficiency declines from east to west and economic development is not significant in the eastern and central areas. Thus, the model is technically improved by adding environmental factors and adopting bootstrap technology to obtain more accurate efficiency values and decompose the rectified efficiency values. Finally, a panel Tobit model is used to analyze efficiency determinants.
机译:本文使用传统数据包络分析(DEA)和bootstrap-DEA估计中国旅游业的效率。它还确定了效率的决定因素。 DEA估算的综合和纯技术效率值高于bootstrap-DEA估算的值,这表明前一种方法倾向于高估效率。此外,综合和纯技术效率的变化并不明显,而某些模型则没有效率。此外,经济发展,城市化和对外开放程度也有积极影响。按地区划分,综合技术效率由东向西递减,东部和中部地区经济发展不显着。因此,通过添加环境因素并采用自举技术来获得更准确的效率值并对分解后的效率值进行分解,从而对该模型进行了技术上的改进。最后,使用面板Tobit模型来分析效率决定因素。

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